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CF reelclaw

Create, produce, and publish UGC-style short-form video reels at scale. Full pipeline: source UGC reaction hooks from DanSUGC, analyze app demos with Gemini AI, assemble reels with ffmpeg, publish via DanSUGC Posting (TikTok + Instagram), track performance and research viral formats/hooks via DanSUGC's built-in analytics proxy.

ClawHub Agent Skills author: Daniel Hangan v1.0.0 MIT-0 8 files body ≈ 6 055 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 36/100 · Will not run — References files that are not bundled: references/ffmpeg-patterns.md, references/green-zone.md, references/virality-scoring.md

GeneratorMarketingInfrastructureData and analyticstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
C
72/100
safety, quality, tests
Safety 60%
88
Quality 40%
49
Run on models
none yet
Process rating
F
36/100
Will not run
References files that are not bundled: references/ffmpeg-patterns.md, references/green-zone.md, references/virality-scoring.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  3. The text references files that are not there: add them or drop the references.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 12

✓ No critical or high findings

Medium and low: 12
  • low Exfiltration exfil-secret-in-url SKILL.md:207
    Credential passed in a URL query string (normal for some APIs — verify the host is the intended service) (destination is a well-known publishing service; quoted — discussed, not commanded)
    "https://generativelanguage.googleapis.com/upload/v1beta/files?key=…" \
    known servicequoted
  • low Exfiltration exfil-secret-in-url SKILL.md:213
    Credential passed in a URL query string (normal for some APIs — verify the host is the intended service) (destination is a well-known publishing service; quoted — discussed, not commanded)
    curl -s "https://generativelanguage.googleapis.com/v1beta/models/gemi…ent?key=…" \
    known servicequoted
  • low Exfiltration net-credential-use SKILL.md:213
    Credential used in a network call (verify the destination is the intended service) (destination is a well-known publishing service)
    curl -s "https://generativelanguage.googleapis.com/v1beta/models/gemi…ent?key=…" \
    known service
  • low Exfiltration exfil-secret-in-url SKILL.md:384
    Credential passed in a URL query string (normal for some APIs — verify the host is the intended service) (destination is a well-known publishing service; quoted — discussed, not commanded)
    "https://generativelanguage.googleapis.com/upload/v1beta/files?key=…" \
    known servicequoted
  • low Exfiltration exfil-secret-in-url SKILL.md:393
    Credential passed in a URL query string (normal for some APIs — verify the host is the intended service) (destination is a well-known publishing service; quoted — discussed, not commanded)
    curl -s "https://generativelanguage.googleapis.com/v1beta/models/gemi…ent?key=…" \
    known servicequoted
  • low Exfiltration net-credential-use SKILL.md:393
    Credential used in a network call (verify the destination is the intended service) (destination is a well-known publishing service)
    curl -s "https://generativelanguage.googleapis.com/v1beta/models/gemi…ent?key=…" \
    known service
  • low Exfiltration exfil-secret-in-url tools-setup.md:166
    Credential passed in a URL query string (normal for some APIs — verify the host is the intended service) (destination is a well-known publishing service; quoted — discussed, not commanded)
    "https://generativelanguage.googleapis.com/upload/v1beta/files?key=…" \
    known servicequoted
  • low Exfiltration exfil-secret-in-url tools-setup.md:173
    Credential passed in a URL query string (normal for some APIs — verify the host is the intended service) (destination is a well-known publishing service; quoted — discussed, not commanded)
    curl -s "https://generativelanguage.googleapis.com/v1beta/models/gemi…ent?key=…" \
    known servicequoted
  • low Exfiltration net-credential-use tools-setup.md:173
    Credential used in a network call (verify the destination is the intended service) (destination is a well-known publishing service)
    curl -s "https://generativelanguage.googleapis.com/v1beta/models/gemi…ent?key=…" \
    known service
  • low Exfiltration exfil-secret-in-url virality-scoring.md:30
    Credential passed in a URL query string (normal for some APIs — verify the host is the intended service) (destination is a well-known publishing service; quoted — discussed, not commanded)
    "https://generativelanguage.googleapis.com/upload/v1beta/files?key=…" \
    known servicequoted
  • low Exfiltration exfil-secret-in-url virality-scoring.md:41
    Credential passed in a URL query string (normal for some APIs — verify the host is the intended service) (destination is a well-known publishing service; quoted — discussed, not commanded)
    curl -s "https://generativelanguage.googleapis.com/v1beta/models/gemi…ent?key=…" \
    known servicequoted
  • low Exfiltration net-credential-use virality-scoring.md:41
    Credential used in a network call (verify the destination is the intended service) (destination is a well-known publishing service)
    curl -s "https://generativelanguage.googleapis.com/v1beta/models/gemi…ent?key=…" \
    known service

Files scanned: 8. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning body-long SKILL.md body ≈ 6055 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: references/ffmpeg-patterns.md
  • warning missing-ref reference to a missing file: references/green-zone.md
  • warning missing-ref reference to a missing file: references/virality-scoring.md
  • warning missing-ref reference to a missing file: references/tools-setup.md
  • warning missing-ref reference to a missing file: references/green-zone.md
  • warning missing-ref reference to a missing file: references/ffmpeg-patterns.md
  • warning missing-ref reference to a missing file: references/virality.md
  • warning missing-ref reference to a missing file: references/virality-scoring.md
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 36/100

Will not run. References files that are not bundled: references/ffmpeg-patterns.md, references/green-zone.md, references/virality-scoring.md
  • 0Tools and files. 8 referenced file(s) missing: references/ffmpeg-patterns.md, references/green-zone.md, references/virality-scoring.md
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 15 mutating operations with no state check
  • 40Consistency. Frontmatter name (reelclaw) differs from the folder (reelclaw-dansugc)
  • 70Execution cost. Instruction body is 6055 tokens
  • 100Steps. 68 steps
  • 100Failures and branches. 3 branches, has a failure section
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 12 top-level sections: this looks like several domains in one skill

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 329: enough signal without eating the budget
  • +4Structure: 53 headings
  • +3Step-by-step instructions: 68 items
  • +4Has examples (34 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 49.

External checks

ClawHub: suspicious
ReelClaw matches its video-production purpose, but it needs review because it can spend credits, upload unpublished media to third parties, and publish or delete real social posts without strong approval boundaries.
LLM: suspicious (high) · VirusTotal: · 29 May 2026